Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/136511
Título: Spatial correlation between climate change and economic growth in EU
Autores/as: Marinello, Vincenzo
Di Rocco, Rossella Maria Pia
Indelicato, Alessandro 
Martín Hernández, Juan Carlos 
Palabras clave: Climate change
Spatial correation
Environmental
Eurostat
Fecha de publicación: 2025
Publicación seriada: Rivista Italiana di Economia, Demografia e Statistica (RIEDS) = Italian Journal of Economic, Demographic and Statistical Studies 
Resumen: Over the past decade, Europe has faced significant challenges due to the increase in net greenhouse gas emissions and the resulting economic losses associated with climate change. This article focuses on a detailed analysis of the trends in such emissions, the economic losses incurred, and the impact of adopted environmental taxation policies. Utilizing data from Eurostat spanning from 2013 to 2021, our study aims to explore the interconnections among these factors, evaluate the effectiveness of implemented fiscal policies in mitigating these impacts, and examine their spatial distribution. Through the application of the Moran's Index, we examined the presence of spatial autocorrelation in the data to identify any significant geographic patterns. Results reveal that there has been a slight decrease in net greenhouse gas emissions across Europe from 2013 to 2021, thanks the efforts to curb them also through environmental taxation policies. The analysis indicates that while environmental taxation policies have been implemented, their effectiveness in reducing emissions and mitigating economic losses varies across regions. Some areas have seen more success in curbing emissions and minimizing economic impacts compared to others.
URI: http://hdl.handle.net/10553/136511
ISSN: 0035-6832 (WC · ACNP)
DOI: 10.71014/sieds.v79i3.306
Fuente: Rivista Italiana di Economia Demografia e Statistica, Vol. LXXIX-3, (July-September 2025)
Colección:Artículos
Adobe PDF (561,63 kB)
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.